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cs.CV2025★ 1 cited
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
Jaesin Ahn, Heechul Jung
Diffusion models show remarkable image generation performance following text prompts, but risk generating sexual contents. Existing approaches, such as prompt filtering, concept re…
cs.CV2024
Integrating Query-aware Segmentation and Cross-Attention for Robust VQA
Wonjun Choi, Sangbeom Lee, Seungyeon Lee +2
This paper introduces a method for VizWiz-VQA using LVLM with trainable cross-attention and LoRA finetuning. We train the model with the following conditions: 1) Training with orig…